Rule versus similarity: Different in processing mode, not in representations
Behavioral and Brain Sciences 28 (1):31-32 (2005)
| Abstract | Drawing on an example from artificial grammar learning, I present the case that similarity processes can be computationally identical to rules processes, but that participants in an artificial grammar learning experiment may use different processing modes to classify stimuli. The number of properties and other representational differences between rule and similarity processes are an accidental consequence of strategies used. | |||||||||
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Gregory Ashby & Michael B. Casale (2005). Empirical Dissociations Between Rule-Based and Similarity-Based Categorization. Behavioral and Brain Sciences 28 (1):15-16.
Arthur B. Markman, Sergey Blok, Kyungil Kim, Levi Larkey, Lisa R. Narvaez, C. Hunt Stilwell & Eric Taylor (2005). Digging Beneath Rules and Similarity. Behavioral and Brain Sciences 28 (1):29-30.
Emmanuel M. Pothos (2005). Preferring Rules to Similarity: Coherence, Goals, and Commitment. Behavioral and Brain Sciences 28 (1):37-49.
James A. Hampton (2005). Rules and Similarity – a False Dichotomy. Behavioral and Brain Sciences 28 (1):26-26.
Peter Robinson (2005). Rules and Similarity Processes in Artificial Grammar and Natural Second Language Learning: What is the “Default”? Behavioral and Brain Sciences 28 (1):32-33.
Bob McMurray & David Gow (2005). It's Not How Many Dimensions You Have, It's What You Do with Them: Evidence From Speech Perception. Behavioral and Brain Sciences 28 (1):31-31.
Emmanuel M. Pothos (2005). The Rules Versus Similarity Distinction. Behavioral and Brain Sciences 28 (1):1-14.
Ulrike Hahn (2005). Is This What the Debate on Rules Was About? Behavioral and Brain Sciences 28 (1):25-26.
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